grant

Enhanced Biomechanical Modeling of the Breast for Womens Health

Organization UNIVERSITY OF TX MD ANDERSON CAN CTRLocation HOUSTON, UNITED STATESPosted 10 Jun 2022Deadline 28 Feb 2027
NIHUS FederalResearch GrantFY20253-D3-D analysis3-D modeling3-Dimensional3-dimensional analysis3D3D analysis3D modelingAdipose tissueAnatomic SitesAnatomic structuresAnatomyAnisotropyBehaviorBiomechanicsBody TissuesBreastBreast CancerBreast ReconstructionBreast TissueCancersCharacteristicsChest WallChest wall structureClothingDataDevelopmentDiagnosisDiagnostic ImagingEducation and TrainingEngineeringFatty TissueFemale HealthGeometryGoalsGrantHumanIndividualKnowledgeLiteratureLocationMalignant Breast NeoplasmMalignant NeoplasmsMalignant TumorMammaplastyMammary Gland ParenchymaMammary Gland TissueMammectomyMammoplastyMastectomyMedicalModelingModern ManMotionMovementOperative ProceduresOperative Surgical ProceduresOutcomeOutcome MeasurePathologistPatient EducationPatient InstructionPatient TrainingPatientsPerformancePhysiciansPhysicsPhysiologicPhysiologicalPopulationPropertyQOLQuality of lifeRecoveryResearchSightSocial Support SystemStructureSupport SystemSurgeonSurgicalSurgical InterventionsSurgical ProcedureSystemTestingThoracic WallThree-dimensional analysisTissue ModelTissuesTraining and EducationUncertaintyVisionWomen's HealthWorkadiposebiomechanic modelingbiomechanic simulationbiomechanicalbiomechanical analysesbiomechanical analysisbiomechanical assessmentbiomechanical characterizationbiomechanical evaluationbiomechanical measurementbiomechanical modelbiomechanical modelingbiomechanical profilingbiomechanical simulationbiomechanical testbody movementclinical translationclinically translatabledesigndesigningdevelopmentaldoubtimprovedinnovateinnovationinnovativemalignancymalignant breast tumormeasurable outcomemulti-modalitymultidisciplinarymultimodalityneoplasm/canceroutcome measurementpreventpreventingprimary outcomeshared decision makingsimulationsurgerythree dimensionalthree-dimensional modelingtooltranslational modeltumorvisual functionwhite adipose tissueyellow adipose tissue
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Full Description

As biomechanical modeling of the breast is integral to predicting tumor location across multimodal
diagnostic imaging and during surgery, surgical planning, generating simulations for physician and patient

education, and brassiere and clothing design for optimal breast support, advances in model accuracy have the

potential to significantly improve women's health and quality of life. Despite the growing use of breast

biomechanical models for different applications, there are persistent knowledge gaps in both the anatomical and

biomechanical literature that prevent an accurate model from being developed and deployed to patient-specific

applications. Accurate biomechanical models are needed for tracking cancer in diagnostic imaging and surgery.

However, the accuracy of biomechanical models is sensitive to the geometrical and structural features used to

describe the anatomical features and the constitutive parameters used to describe the behavior of the tissues.

For example, small alterations in the stiffness of the various breast tissue properties can displace tissues by

more than 10 mm. Thus, thorough characterization of the constitutive properties of individual breast structures

are necessary to obtain precise predictions of tissue motion. Furthermore, in the absence of precise knowledge

of anatomical geometrical and structural features, biomechanical models have placed an overemphasis on the

constitutive parameters of the breast tissue.

The long-term goal of our research is to develop an accurate biomechanical model of the breast that

transforms the applications of breast modeling for both population models and patient-specific applications. Our

vision is to improve the model so that it becomes a reliable and useful tool in the diagnosis and management of

breast cancer, surgeon education and training, patient education for better shared decision making, and clothing

design, especially in the post mastectomy recovery period.

Our present human breast tissue biomechanical model represents the state of the art, as it is based on

actual 3D analyses. However, it represents a first step, as clinical translation remains limited by insufficient

information about the structural and biomechanical characteristics of the fascial support system and its

relationship to the adipose and glandular breast structures in the broader population. Thus, we hypothesize that

the accuracy of the biomechanical model may be improved by determining the anatomical and biomechanical

characteristics of the fascial support system of the breast, understanding the sensitivity of the patient-specific

parameters across the population, and validating the translation of these models, with their inherent

uncertainties, into the patient-specific setting. Our multi-disciplinary team of breast reconstructive surgeons,

engineers, medical physicists, and pathologists are uniquely poised to perform this innovative research leading

to the development of a high-fidelity biomechanical model of the human breast that is capable of reproducing its

behavior, both in general and in a patient specific sense.

Grant Number: 5R01EB032533-04
NIH Institute/Center: NIH

Principal Investigator: Kristy Brock

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